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# GenAI Engineer-Middletown NJ, Atlanta GA, Dallas TX

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Salary:** $92,000.0 - $117,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Component-Based Software Engineering, Application Integration Architecture, Microsoft Azure, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Azure Machine Learning, Search Technologies, Secure Coding, Software Engineering, Unstructured Data, Enterprise Application Integration, Enterprise Software Applications, Cloud Platform System, Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Software Application Programming, Generative AI, Backend, Git, Containerization, AI Platforms, Deployment Automation, Microservices
- **Published:** July 9, 2026
- **Apply:** https://dejobs.org/x/x/E790EED57D6B418682DB133CD617A562/job/

## About the Role

We are seeking a GenAI Engineer to design, build, and deploy generative AI solutions that support enterprise applications, automation, knowledge discovery, and intelligent user experiences. The ideal candidate will have hands-on experience working with large language models, prompt engineering, retrieval-augmented generation, model evaluation, and application integration. Experience with Azure DevOps is helpful for supporting deployments, CI/CD workflows, and collaboration with engineering teams, though this role is not primarily DevOps-focused.

Client location choices--Middletown NJ, Atlanta GA, Dallas TX

Key Responsibilities * Design, develop, and integrate GenAI-powered applications using large language models and related AI services * Build solutions involving prompt engineering, retrieval-augmented generation, embeddings, vector search, and AI agents * Develop APIs, services, and application components that connect GenAI capabilities to business workflows * Work with structured and unstructured data to support knowledge retrieval, summarization, classification, and content generation use cases * Evaluate model performance, response quality, hallucination risk, and reliability across different scenarios * Collaborate with product, data, engineering, and architecture teams to deliver scalable AI solutions * Implement responsible AI practices including security, privacy, monitoring, explainability, and governance considerations * Support deployment and release processes using tools such as Azure DevOps, Git, CI/CD pipelines, and cloud environments * Create documentation, reusable
patterns, and technical guidance for GenAI solution development * Stay current with emerging GenAI frameworks, model capabilities, and best practices

Required Qualifications * 3+ years of software engineering, data engineering, machine learning, or AI application development experience * Hands-on experience building applications with large language models * Experience with prompt engineering, RAG architectures, embeddings, and vector databases * Proficiency in Python and familiarity with APIs, microservices, or backend development * Experience working with cloud-based AI services, preferably on Azure * Understanding of model evaluation, testing, monitoring, and quality improvement techniques * Familiarity with secure development practices and enterprise application integration * Strong problem-solving, communication, and collaboration skills

Preferred Qualifications * Experience with Azure OpenAI Service, Azure AI Search, Azure Machine Learning, or related Azure AI services * Working knowledge of Azure DevOps, including repositories, boards, pipelines, and release workflows * Experience with Agentic-LLM solutions using LangChain, LangGraph, or similar tools * Experience with vector databases or search platforms such as Azure AI Search * Familiarity with containerization, CI/CD, and deployment automation * Experience supporting enterprise-scale AI solutions, chatbot platforms, knowledge assistants, or intelligent automation use case

## Description

Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.


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